Medical Doctors in the United States increased to 2.77 per 1000 people in 2019 from 2.74 per 1000 people in 2018. This dataset includes a chart with historical data for the United States Medical Doctors.

In the United States, there were roughly 268 thousand primary care physicians (PCPs) actively working in 2021. Most PCPs were either specialized in family medicine or internal medicine. The third most common specialty for primary care physicians in the United States was pediatrics.

Physicians (per 1,000 people) in United States was reported at 3.608 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Physicians - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.

In 2021, in some specialties, female primary care physicians (PCPs) were more common than men. Geriatrics and pediatrics were specialties where PCPs were predominantly female in the United States. For instance, two-thirds of PCPs who specialized in pediatrics were women. On the other hand, just 41 percent of PCPs who specialized in internal medicine in the U.S. were female in 2021.

Graph and download economic data for All Employees: Education and Health Services: Offices of Physicians in Michigan (SMU26000006562110001SA) from Jan 2001 to May 2025 about physicians, health, MI, services, employment, and USA.

Comprehensive dataset of 631,560 Doctors in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset is about books. It has 1 row and is filtered where the book is Women medical doctors in the United States before the Civil War : a biographical dictionary. It features 7 columns including author, publication date, language, and book publisher.

Health professionals, especially primary care physicians, are in high demand in many parts of the U.S. Some areas are experiencing health professional shortages. This map shows the ratio of population to primary care physicians in the U.S. Areas in dark red show where there are less primary care physicians per person.The data comes from County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The layer used in the map comes from ArcGIS Living Atlas of the World, and the full documentation for the layer can be found here.County data are suppressed if, for both years of available data, the population reported by agencies is less than 50% of the population reported in Census or less than 80% of agencies measuring crimes reported data.

Graph and download economic data for All Employees: Education and Health Services: Offices of Physicians in New York City, NY (SMU36935616562110001) from Jan 1990 to May 2025 about physicians, New York, health, NY, services, employment, and USA.

The distribution of physicians across the United States reveals significant disparities, with California leading the pack at nearly ******* active doctors as of January 2025. This concentration of medical professionals in populous states highlights the ongoing challenge of ensuring adequate healthcare access nationwide. The stark contrast between California's physician count and Wyoming's mere ***** doctors underscores the need for targeted efforts to address healthcare workforce shortages in less populated areas. Primary care and specialist distribution California's dominance in the medical field extends beyond overall physician numbers. The state leads in both primary care physicians and specialists, accounting for over ** percent of each category nationally. This concentration of medical expertise in California reflects broader trends, with New York and Texas following as the states with the highest numbers of active primary care physicians. The distribution of specialists also mirrors national patterns, with psychiatry, surgery, and anaesthesiology among the most common specialties. Physician burnout While the number of physicians continues to grow, physician burnout remains a significant issue. There are large variations in rates of burnout depending on a physician's gender and specialty. For example, burnout is disproportionally high among women, affecting ** percent of female physicians and ** percent of male physicians. Meanwhile, emergency medicine physicians reported the highest levels of burnout among specialists, highlighting the need for targeted interventions to support the individual needs of doctors depending on their different circumstances.

According to a survey carried out in the United States in 2023, more than ** percent of respondents said that one of the reasons why they were interested in sharing data from their personal device with healthcare providers was to take a more active role in their health. Another motivation for sharing data from a wearable device for over ************** of respondents was to improve their health outcomes.

Graph and download economic data for Employed full time: Wage and salary workers: Physicians and surgeons occupations: 16 years and over: Women (LEU0254701200A) from 2000 to 2019 about surgeons, physicians, medical, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

This dataset provides values for MEDICAL DOCTORS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for All Employees, Offices of Physicians (CES6562110001) from Jan 1972 to Jun 2025 about physicians, health, establishment survey, education, services, employment, and USA.

This dataset comprises physician-level entries from the 1906 American Medical Directory, the first in a series of semi-annual directories of all practicing physicians published by the American Medical Association [1]. Physicians are consistently listed by city, county, and state. Most records also include details about the place and date of medical training. From 1906-1940, Directories also identified the race of black physicians [2].This dataset comprises physician entries for a subset of US states and the District of Columbia, including all of the South and several adjacent states (Alabama, Arkansas, Delaware, Florida, Georgia, Kansas, Kentucky, Louisiana, Maryland, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, West Virginia). Records were extracted via manual double-entry by professional data management company [3], and place names were matched to latitude/longitude coordinates. The main source for geolocating physician entries was the US Census. Historical Census records were sourced from IPUMS National Historical Geographic Information System [4]. Additionally, a public database of historical US Post Office locations was used to match locations that could not be found using Census records [5]. Fuzzy matching algorithms were also used to match misspelled place or county names [6].The source of geocoding match is described in the “match.source” field (Type of spatial match (census_YEAR = match to NHGIS census place-county-state for given year; census_fuzzy_YEAR = matched to NHGIS place-county-state with fuzzy matching algorithm; dc = matched to centroid for Washington, DC; post_places = place-county-state matched to Blevins & Helbock's post office dataset; post_fuzzy = matched to post office dataset with fuzzy matching algorithm; post_simp = place/state matched to post office dataset; post_confimed_missing = post office dataset confirms place and county, but could not find coordinates; osm = matched using Open Street Map geocoder; hand-match = matched by research assistants reviewing web archival sources; unmatched/hand_match_missing = place coordinates could not be found). For records where place names could not be matched, but county names could, coordinates for county centroids were used. Overall, 40,964 records were matched to places (match.type=place_point) and 931 to county centroids ( match.type=county_centroid); 76 records could not be matched (match.type=NA).Most records include information about the physician’s medical training, including the year of graduation and a code linking to a school. A key to these codes is given on Directory pages 26-27, and at the beginning of each state’s section [1]. The OSM geocoder was used to assign coordinates to each school by its listed location. Straight-line distances between physicians’ place of training and practice were calculated using the sf package in R [7], and are given in the “school.dist.km” field. Additionally, the Directory identified a handful of schools that were “fraudulent” (school.fraudulent=1), and institutions set up to train black physicians (school.black=1).AMA identified black physicians in the directory with the signifier “(col.)” following the physician’s name (race.black=1). Additionally, a number of physicians attended schools identified by AMA as serving black students, but were not otherwise identified as black; thus an expanded racial identifier was generated to identify black physicians (race.black.prob=1), including physicians who attended these schools and those directly identified (race.black=1).Approximately 10% of dataset entries were audited by trained research assistants, in addition to 100% of black physician entries. These audits demonstrated a high degree of accuracy between the original Directory and extracted records. Still, given the complexity of matching across multiple archival sources, it is possible that some errors remain; any identified errors will be periodically rectified in the dataset, with a log kept of these updates.For further information about this dataset, or to report errors, please contact Dr Ben Chrisinger (Benjamin.Chrisinger@tufts.edu). Future updates to this dataset, including additional states and Directory years, will be posted here: https://dataverse.harvard.edu/dataverse/amd.References:1. American Medical Association, 1906. American Medical Directory. American Medical Association, Chicago. Retrieved from: https://catalog.hathitrust.org/Record/000543547.2. Baker, Robert B., Harriet A. Washington, Ololade Olakanmi, Todd L. Savitt, Elizabeth A. Jacobs, Eddie Hoover, and Matthew K. Wynia. "African American physicians and organized medicine, 1846-1968: origins of a racial divide." JAMA 300, no. 3 (2008): 306-313. doi:10.1001/jama.300.3.306.3. GABS Research Consult Limited Company, https://www.gabsrcl.com.4. Steven Manson, Jonathan Schroeder, David Van Riper, Tracy Kugler, and Steven Ruggles. IPUMS National Historical Geographic Information System: Version 17.0 [GNIS, TIGER/Line & Census Maps for US Places and Counties: 1900, 1910, 1920, 1930, 1940, 1950; 1910_cPHA: ds37]. Minneapolis, MN: IPUMS. 2022. http://doi.org/10.18128/D050.V17.05. Blevins, Cameron; Helbock, Richard W., 2021, "US Post Offices", https://doi.org/10.7910/DVN/NUKCNA, Harvard Dataverse, V1, UNF:6:8ROmiI5/4qA8jHrt62PpyA== [fileUNF]6. fedmatch: Fast, Flexible, and User-Friendly Record Linkage Methods. https://cran.r-project.org/web/packages/fedmatch/index.html7. sf: Simple Features for R. https://cran.r-project.org/web/packages/sf/index.html

About this Dataset

Search Criteria- - Search as a guest - What type of care are you searching for? - Medical - What state do you want to search with? First we need CA, NY, NJ, PA, MA, Washington DC, and MD. Please give us this as a field so that we know which doctor is in what state - What type of plan do you want to search with? Please do Medical Networks on-Exchange, Medical (Individuals & Families), and Medical (Employer-Sponsored) - Plan/Network -ONLY ONE- Anthem Gold Advantage PPO - Need to search by COUNTIES of that States - Search by Care Provider - Behavioral Health REMARK THIS ONE- When you conduct the search I've already identified, it brings back a list of providers. Then there are additional filters at the top. From the "specialty" filter, Need to exclude these, and only include the remaining? • Applied Behavioral Analysis • Medication Assisted Treatment • Methadone • NP/Nurses • VA • Behavioral Health Facility
Fields- Plan Type, Plan Network, Name, Specialty, Full Address, State, Website, Email, Phone, Area of expertise

Category

Health & Medicine

Keywords

US Medicine,medical,doctors,California Doctors,california

Row Count

1860

Price

$30.00

Comprehensive dataset of 17,931 Medical clinics in New York, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset provides information on 2,847 in Maine, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

Comprehensive dataset of 822 Medical clinics in South Dakota, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.